Radu Dogaru

105 papers receiving 785 citations

Peers

Radu Dogaru
Comparison fields: 5 of 81
  • Computer Networks and Communications 376
  • Artificial Intelligence 301
  • Computational Theory and Mathematics 268
  • Electrical and Electronic Engineering 240
  • Statistical and Nonlinear Physics 160
Replace Yoshifumi Nishio with:
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Krishna V. Palem United States
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Xiaofeng Liao China
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Radu Dogaru relative to Yoshifumi Nishio Japan Yoshifumi Nishio's profile →
Citations per field
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Yoshifumi Nishio · 1×
Citations per year

Countries citing papers authored by Radu Dogaru

Since Specialization
Citations

This map shows the geographic impact of Radu Dogaru's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radu Dogaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Dogaru more than expected).

Fields of papers citing papers by Radu Dogaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu Dogaru. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radu Dogaru. The network helps show where Radu Dogaru may publish in the future.

Co-authorship network of co-authors of Radu Dogaru

This figure shows the co-authorship network connecting the top 25 collaborators of Radu Dogaru. A scholar is included among the top collaborators of Radu Dogaru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Radu Dogaru. Radu Dogaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms.
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7 8
8 0
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13 14
14 18
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Universality and Emergent Computation in Cellular Neural Networks (World Scientific Series on Nonlinear Science, Series a, 43)
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16 19
17 3
18 40
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Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings.
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About Radu Dogaru

Radu Dogaru is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 116 papers that have together received 845 indexed citations. Recurring topics across this work include Neural Networks and Applications (44 papers), Cellular Automata and Applications (40 papers) and Neural Networks Stability and Synchronization (33 papers). The work is most often cited by research in Computational Theory and Mathematics (268 citations), Computer Networks and Communications (376 citations) and Statistical and Nonlinear Physics (160 citations). Radu Dogaru has collaborated with scholars based in Romania, United States and Germany. Frequent co-authors include Leon O. Chua, P. Julián, Manfred Glesner, Sook Yoon, M. Hänggi, Hyongsuk Kim, K.R. Crounse, Laura Florea, Makoto Itoh and Corneliu Florea. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, International Journal of Bifurcation and Chaos and International Journal of Intelligent Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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